Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony

作者：

Highlights：

• A new algorithm is developed for hiding sensitive rules using a binary ABC approach.

• We improve the binary ABC to optimize the exploitation for rule hiding.

• We apply the improved swarm algorithm for selecting sensitive transactions.

• Various experiments are carried out to verify the performance of our algorithms.

摘要

•A new algorithm is developed for hiding sensitive rules using a binary ABC approach.•We improve the binary ABC to optimize the exploitation for rule hiding.•We apply the improved swarm algorithm for selecting sensitive transactions.•Various experiments are carried out to verify the performance of our algorithms.

论文关键词：Data mining,Privacy preserving in data mining,Association rule mining,Association rule hiding,Artificial bee colony

论文评审过程：Received 5 August 2019, Revised 12 November 2019, Accepted 21 November 2019, Available online 23 November 2019, Version of Record 6 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113097